Abstract
The Intelligent Flight Controls System program is a collaborative effort between Boeing, NASA, small business and academia to implement and flight demonstrate neural-adaptive flight controls technology. IFCS employs neural networks to provide augmentation to the nominal aircraft flight controls in the case of failure conditions to the aircraft. The presence of the neural-adaptive elements in the flight control software presents some interesting challenges in the V&V of the IFCS system. This article will discuss the V&V challenges faced, how they were overcome and what challenges still exist.
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Smith, T., Barhorst, J., Urnes, J.M. (2010). Design and Flight Test of an Intelligent Flight Control System. In: Schumann, J., Liu, Y. (eds) Applications of Neural Networks in High Assurance Systems. Studies in Computational Intelligence, vol 268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10690-3_4
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DOI: https://doi.org/10.1007/978-3-642-10690-3_4
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